Thesis Details

Word2vec modely s přidanou kontextovou informací

Master's Thesis Student: Šůstek Martin Academic Year: 2016/2017 Supervisor: Zbořil František V., doc. Ing., CSc.
English title
Word2vec Models with Added Context Information
Language
Czech
Abstract

This thesis is concerned with the explanation of the word2vec models. Even though word2vec was introduced recently (2013), many researchers have already tried to extend, understand or at least use the model because it provides surprisingly rich semantic information. This information is encoded in N-dim vector representation and can be recall by performing some operations over the algebra. As an addition, I suggest a model modifications in order to obtain different word representation. To achieve that, I use public picture datasets. This thesis also includes parts dedicated to word2vec extension based on convolution neural network.

Keywords

NLP, LM, AI, CNN, Natural Language Processing, Language Modelling, Word2vec, Word Embeddings, Artificial Neural Networks, Semantic Similarity, Softmax, Artificial Inteligence, Convolution Neural Network

Department
Degree Programme
Information Technology, Field of Study Intelligent Systems
Files
Status
defended, grade A
Date
22 June 2017
Reviewer
Committee
Zbořil František V., doc. Ing., CSc. (DITS FIT BUT), předseda
Hrubý Martin, Ing., Ph.D. (DITS FIT BUT), člen
Janoušek Vladimír, doc. Ing., Ph.D. (DITS FIT BUT), člen
Jaroš Jiří, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Matyska Luděk, prof. RNDr., CSc. (FI MUNI), člen
Peringer Petr, Dr. Ing. (DITS FIT BUT), člen
Citation
ŠŮSTEK, Martin. Word2vec modely s přidanou kontextovou informací. Brno, 2017. Master's Thesis. Brno University of Technology, Faculty of Information Technology. 2017-06-22. Supervised by Zbořil František V.. Available from: https://www.fit.vut.cz/study/thesis/20124/
BibTeX
@mastersthesis{FITMT20124,
    author = "Martin \v{S}\r{u}stek",
    type = "Master's thesis",
    title = "Word2vec modely s p\v{r}idanou kontextovou informac\'{i}",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2017,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/20124/"
}
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